I would say though that if I didn't go the Julia route I would probably be using C++. Again, in the article I wrote that for package development, I see Julia as

I would say though that if I didn't go the Julia route I would probably be using C++. Again, in the article I wrote that for package development, I see Julia as a more productive C++ as opposed to a faster Python. I'm using it in a way that is all based around generic algorithms that can statically compile well, so it's essentially C++ template magic but with a lot less code (no headers) and I can prototype separate implementations in the REPL as I go (in Juno, highlight and do Ctrl+enter and it replaces the function in the package with the new definition). I think the other clear choice in this space is actually D. But between Julia, C++, and D, I like Julia because I found it really easy to program things and have it work the first time.